Megan E. McNerney

2.5k total citations
43 papers, 1.7k citations indexed

About

Megan E. McNerney is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Megan E. McNerney has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Hematology and 13 papers in Immunology. Recurrent topics in Megan E. McNerney's work include Acute Myeloid Leukemia Research (20 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (9 papers). Megan E. McNerney is often cited by papers focused on Acute Myeloid Leukemia Research (20 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (9 papers). Megan E. McNerney collaborates with scholars based in United States, Australia and United Kingdom. Megan E. McNerney's co-authors include Michelle M. Le Beau, Vinay Kumar, Lucy A. Godley, Vinay Kumar, Kyung‐Mi Lee, K White, Susan E. Stepp, Porunelloor A. Mathew, Michael Bennett and Syamal K. Datta and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Megan E. McNerney

39 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Megan E. McNerney United States 22 730 506 474 308 199 43 1.7k
Jörg Westermann Germany 21 611 0.8× 338 0.7× 340 0.7× 476 1.5× 72 0.4× 85 1.2k
Martín Pérez‐Andrés Spain 21 830 1.1× 638 1.3× 657 1.4× 401 1.3× 67 0.3× 63 1.8k
Wencai Ma United States 16 570 0.8× 872 1.7× 490 1.0× 535 1.7× 134 0.7× 39 1.6k
Robert Wasserman United States 18 945 1.3× 545 1.1× 537 1.1× 344 1.1× 90 0.5× 35 1.8k
Uta Oelschlägel Germany 22 635 0.9× 428 0.8× 1.2k 2.5× 488 1.6× 122 0.6× 53 1.8k
Kathryn A. Kolquist United States 12 449 0.6× 634 1.3× 188 0.4× 467 1.5× 115 0.6× 20 1.5k
David G. Coffey United States 14 324 0.4× 724 1.4× 610 1.3× 633 2.1× 212 1.1× 57 1.4k
Csaba Bödör Hungary 19 363 0.5× 420 0.8× 246 0.5× 335 1.1× 134 0.7× 116 1.3k
Marion Baudard France 18 312 0.4× 541 1.1× 686 1.4× 369 1.2× 89 0.4× 34 1.3k
Eustratios Bananis United States 25 597 0.8× 305 0.6× 477 1.0× 635 2.1× 268 1.3× 60 2.2k

Countries citing papers authored by Megan E. McNerney

Since Specialization
Citations

This map shows the geographic impact of Megan E. McNerney's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Megan E. McNerney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan E. McNerney more than expected).

Fields of papers citing papers by Megan E. McNerney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan E. McNerney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Megan E. McNerney. The network helps show where Megan E. McNerney may publish in the future.

Co-authorship network of co-authors of Megan E. McNerney

This figure shows the co-authorship network connecting the top 25 collaborators of Megan E. McNerney. A scholar is included among the top collaborators of Megan E. McNerney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Megan E. McNerney. Megan E. McNerney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stoddart, Angela, John H. M. Austin, Ningfei An, et al.. (2025). Multiplex gene editing models of del(7q) reveal combined CUX1 and EZH2 loss drives clonal expansion and drug resistance. PubMed. 2(2). 100083–100083.
2.
3.
Chen, Connie L., Wendy Halpern, Bethany R. Hannas, et al.. (2024). HESI workshop summary: Interpretation of developmental and reproductive toxicity endpoints and the impact on data interpretation of adverse events. Birth Defects Research. 116(2). e2311–e2311. 1 indexed citations
4.
Khan, Saira, et al.. (2023). NAMPT Haploinsufficiency Is a Therapeutic Vulnerability in High-Risk Myeloid Malignancies. Blood. 142(Supplement 1). 5753–5753.
5.
An, Ningfei, et al.. (2023). Oncogenic RAS promotes leukemic transformation of CUX1-deficient cells. Oncogene. 42(12). 881–893. 4 indexed citations
6.
Stoddart, Angela, Anthony A. Fernald, Elizabeth M. Davis, Megan E. McNerney, & Michelle M. Le Beau. (2022). EGR1 Haploinsufficiency Confers a Fitness Advantage to Hematopoietic Stem Cells Following Chemotherapy. Experimental Hematology. 115. 54–67. 4 indexed citations
7.
An, Ningfei, Saira Khan, Donald J. Wolfgeher, et al.. (2021). Loss of a 7q gene,CUX1, disrupts epigenetically driven DNA repair and drives therapy-related myeloid neoplasms. Blood. 138(9). 790–805. 16 indexed citations
8.
Stoddart, Angela, Jianghong Wang, Anthony A. Fernald, et al.. (2020). Cytotoxic Therapy–Induced Effects on Both Hematopoietic and Marrow Stromal Cells Promotes Therapy-Related Myeloid Neoplasms. Blood Cancer Discovery. 1(1). 32–47. 22 indexed citations
9.
Stricker, Thomas, Christopher D. Brown, Chaitanya Bandlamudi, et al.. (2017). Robust stratification of breast cancer subtypes using differential patterns of transcript isoform expression. PLoS Genetics. 13(3). e1006589–e1006589. 46 indexed citations
10.
11.
Kadri, Sabah, Bradley Long, Chao Jie Zhen, et al.. (2016). Clinical Validation of a Next-Generation Sequencing Genomic Oncology Panel via Cross-Platform Benchmarking against Established Amplicon Sequencing Assays. Journal of Molecular Diagnostics. 19(1). 43–56. 106 indexed citations
12.
Zhao, Zhen, Chi-Chao Chen, Cory D. Rillahan, et al.. (2015). Cooperative loss of RAS feedback regulation drives myeloid leukemogenesis. Nature Genetics. 47(5). 539–543. 24 indexed citations
13.
Wang, Xiaoyue, Audrey Qiuyan Fu, Megan E. McNerney, & K White. (2014). Widespread genetic epistasis among cancer genes. Nature Communications. 5(1). 4828–4828. 46 indexed citations
14.
Xu, Jin, Kevin M. Haigis, Ari J. Firestone, et al.. (2013). Dominant Role of Oncogene Dosage and Absence of Tumor Suppressor Activity in Nras- Driven Hematopoietic Transformation. Cancer Discovery. 3(9). 993–1001. 47 indexed citations
15.
Brägelmann, Johannes, Ibiayi Dagogo‐Jack, Mohamed El Dinali, et al.. (2013). Oral cavity tumors in younger patients show a poor prognosis and do not contain viral RNA. Oral Oncology. 49(6). 525–533. 33 indexed citations
16.
Bartom, Elizabeth T., Megan E. McNerney, Angela Stoddart, et al.. (2011). GENETIC PATHWAYS LEADING TO THERAPY-RELATED MYELOID NEOPLASMS. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Stoddart, Angela, Megan E. McNerney, Elizabeth T. Bartom, et al.. (2011). GENETIC PATHWAYS LEADING TO THERAPY-RELATED MYELOID NEOPLASMS. SHILAP Revista de lepidopterología. 3(1). e2011019–e2011019. 12 indexed citations
18.
Godley, Lucy A., John M. Cunningham, M. Eileen Dolan, et al.. (2011). An Integrated Genomic Approach to the Assessment and Treatment of Acute Myeloid Leukemia. Seminars in Oncology. 38(2). 215–224. 15 indexed citations
19.
McNerney, Megan E., Kyung‐Mi Lee, Ping Zhou, et al.. (2006). Role of Natural Killer Cell Subsets in Cardiac Allograft Rejection. American Journal of Transplantation. 6(3). 505–513. 92 indexed citations
20.
Lee, Kyung‐Mi, Megan E. McNerney, Susan E. Stepp, et al.. (2004). 2B4 Acts As a Non–Major Histocompatibility Complex Binding Inhibitory Receptor on Mouse Natural Killer Cells. The Journal of Experimental Medicine. 199(9). 1245–1254. 163 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jörg Westermann Breakdown of academic impact, for papers by Martín Pérez‐Andrés Breakdown of academic impact, for papers by Wencai Ma Breakdown of academic impact, for papers by Robert Wasserman Breakdown of academic impact, for papers by Uta Oelschlägel Breakdown of academic impact, for papers by Kathryn A. Kolquist Breakdown of academic impact, for papers by David G. Coffey Breakdown of academic impact, for papers by Csaba Bödör Breakdown of academic impact, for papers by Marion Baudard Breakdown of academic impact, for papers by Eustratios Bananis
Rankless by CCL
2026